scholarly journals Obesity, food insecurity, and depression among females

2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Manik Ahuja ◽  
Thiveya Sathiyaseelan ◽  
Rajvi J. Wani ◽  
Praveen Fernandopulle
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Food Insecurity ◽  
Mental Health Problems ◽  
Major Depressive ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
The Impact

Abstract Background Nutritional psychiatry is an emerging field of research and it is currently exploring the impact of nutrition and obesity on brain function and mental illness. Prior studies links between obesity, nutrition and depression among women. However, less is known how food insecurity may moderate that relationship. Methods Data were employed from the Collaborative Psychiatric Epidemiology Surveys (CPES), 2001–2003. Two logistic regression models were Logistic regression was used to determine the association between obesity, gender, food insecurity, and past year Major Depressive Disorder (MDD). We then stratified by gender, and tested the association between obesity and past year MDD, and if food insecurity moderated the association. Results Obesity was associated with an increased risk for past year Major Depressive Disorder (MDD) among females (AOR = 1.35; 95% CI 1.17–1.55) and was not associated among males (AOR = 1.07; 95% CI, 0.86–1.32). Women who reported that reported both obesity and food insecurity reported higher odds of past year MDD episode (AOR = 3.16; 95% CI, 2.36–4.21, than women who did not report food insecurity (AOR = 1.08; 95% CI, 1.02–1.38). Conclusion With rising rates of mental health problems, females should be closely monitored to understand how poor diets, food insecurity, and obesity play a role in mental health outcomes. It is recommended that clinicians and treatment providers consider the patient’s diet and access to nutritious foods when conducting their assessment.

Early life family disadvantages and major depression in adulthood

1999 ◽  
Vol 174 (2) ◽  
pp. 112-120 ◽  
Author(s):  
Hartwin S. Sadowski ◽  
Blanca Ugarte ◽  
Israel Kolvin ◽  
Carole E. Kaplan ◽  
Jacqueline Barnes
Keyword(s):  
Mental Health ◽  
Major Depressive Disorder ◽  
Major Depression ◽  
Depressive Disorder ◽  
Early Life ◽  
Major Depressive ◽  
Adult Depression ◽  
Increased Risk ◽  
Quality Of Parenting

BackgroundThere is evidence that exposure to social and family disadvantages in childhood are a risk factor for adult depression.AimsTo explore the effects of multiple adversity in early childhood on adult depression, and the relative effects of the different adversities.MethodThis study utilises data from the Newcastle Thousand Family Study. Information on childhood disadvantages was collected when the participants were 5 years old, and information on mental health was gathered when they were 33 years old. Mental health data were scrutinised blind to the evidence of early disadvantage, and best-estimate diagnoses of major depressive disorder were made according to DSM–III–R criteria.ResultsMultiple family disadvantages in childhood substantially increase the risk of suffering a major depressive disorder in adulthood. Such disadvantages include family or marital relationship instability, a combination of poor mothering and poor physical care, and a combination of dependence on social welfare and overcrowding. For females major depression was linked in particular to the quality of parenting in early life.ConclusionsSocial and family (especially multiple family) disadvantages during childhood predispose individuals to an increased risk of major depression in adulthood.

scholarly journals Internalized HIV stigma, bullying, major depressive disorder, and high-risk suicidality among HIV-positive adolescents in rural Uganda

2018 ◽  
Vol 5 ◽  
Author(s):  
S. Ashaba ◽  
C. Cooper-Vince ◽  
S. Maling ◽  
G. Z. Rukundo ◽  
D. Akena ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Major Depressive Disorder ◽  
High Risk ◽  
Depressive Disorder ◽  
Regression Models ◽  
Internalized Stigma ◽  
Major Depressive ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Related Stigma

Background.Studies conducted in sub-Saharan Africa suggest a high prevalence of depression and suicidality among adolescents living with HIV (ALWH). This is an important public health issue because depression is known to compromise HIV treatment adherence. However, the drivers of depression and suicidality in this population are unclear. We conducted a cross-sectional study to estimate the associations between internalized stigma, bullying, major depressive disorder, and suicidality.Methods.We conducted a cross-sectional survey between November 2016 and March 2017, enrolling a consecutive sample of 224 ALWH aged 13–17 years. We collected information on demographic characteristics, internalized HIV-related stigma (using the six-item Internalized AIDS-Related Stigma Scale), bullying victimization (using the nine-item Social and Health Assessment Peer Victimization Scale), major depressive disorder [using the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID)], and suicidality (also using the MINI-KID). We fitted multivariable logistic regression models to estimate the associations between stigma, bullying, major depressive disorder, and suicidality.Results.Thirty-seven participants (16%) had major depressive disorder, 30 (13%) had suicidality, and nine (4%) had high-risk suicidality. Ninety-one participants (41%) had high levels of internalized stigma, while 97 (43%) reported two or more bullying events in the past year. In multivariable logistic regression models, major depressive disorder had a statistically significant association with bullying (AOR = 1.09; 95% CI 1.00–1.20;p= 0.04); while suicidality (low, moderate, high risk) had statistically significant associations with both bullying (AOR = 1.09; 95% CI 1.01–1.17;p= 0.02) and stigma (AOR = 1.30; 95% CI 1.03–1.30;p= 0.02).Conclusions.Among ALWH in rural Uganda, stigma and bullying are strongly associated with major depressive disorder and suicidality. There is a need to incorporate psychological interventions in the mainstream HIV care to address these challenges for optimal management of HIV among ALWH.

Psychoticism and Paranoid Ideation in Patients With Nonpsychotic Major Depressive Disorder: Prevalence, Response to Treatment, and Impact on Short- and Long-Term Treatment Outcome

CNS Spectrums ◽  
2010 ◽  
Vol 15 (8) ◽  
pp. 515-521 ◽  
Author(s):  
Christina M. Dording ◽  
David Mischoulon ◽  
Tracie M. Goodness ◽  
Lee Baer ◽  
Alisabet Clain ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Response To Treatment ◽  
Symptom Improvement ◽  
Paranoid Ideation ◽  
Major Depressive ◽  
Double Blind ◽  
Increased Risk ◽  
Long Term Treatment ◽  
The Impact

AbstractObjective/Introduction: We sought to characterize the impact of the 90-item Symptom Checklist (SCL-90) subscales for paranoid ideation (PI) and psychoticism (P) in patients with major depressive disorder (MDD), on acute anti-depressant response and on relapse prevention.Methods: Subjects with Structured Clinical Interview for DSM Disorders-diagnosed non-psychotic MDD were recruited into a clinical trial of open-label fluoxetine 10–60 mg/day for 12 weeks, followed by double-blind randomization of responders (n=262) to fluoxetine continuation or placebo for 12 months. PI and P were assessed with the patient-rated SCL-90. The association of these symptoms with response to treatment was assessed by logistic regression.Results: We found significant decreases in PI and P during acute treatment phase for fluoxetine responders and nonresponders, although only 10.3% and 7.5% of patients experienced a ≥50% reduction in PI and P scores, respectively. Neither PI nor P scores significantly predicted time to relapse. P scores predicted a lower response rate to treatment with fluoxetine.Discussion: The results of the present study suggest that there is a significant relationship between the presence of psychoticism in patients with nonpsychotic MDD, and the likelihood of overall depressive symptom improvement following a trial of monotherapy with fluoxetine.Conclusion: An increased burden of psychoticism in depressed subjects may confer poorer response to fluoxetine, but not increased risk of relapse among fluoxetine responders.

STUDY ON NEWER PSYCHIATRIC CASES VISITING OPD AFTER ONSET OF PANDEMIC COVID-19

2021 ◽  
pp. 11-12
Author(s):  
Krishna Mishra ◽  
Priyash Jain
Keyword(s):  
Mental Health ◽  
Major Depressive Disorder ◽  
Health Status ◽  
General Population ◽  
Depressive Disorder ◽  
Mental Hospital ◽  
Major Depressive ◽  
Classi Cation ◽  
The Impact

Introduction : It is predicted by the experts that there will be a steep rise in the number of psychiatric cases post covid-19 pandemic. It is important to gauge the situation of mental health in population to be able to provide mental health services in a better way. Objective: The aim of this study is to determine the impact of the pandemic and other factors contingent to the pandemic on the mental health status of general population. Materials and method: The study was done over a period of 1 month after the lockdown. Study was done on 160 patients visiting Psychiatry OPD th in Mental Hospital, Indore for the rst time. Patients were diagnosed using International classication of diseases- 10 edition. Results: In our study we found that a majority of 45 of the 160 patients were suffering from Major Depressive Disorder followed by 24 patients of 160 suffering from nonorganic unspecied psychosis. Conclusion: It is important to assess the number of psychiatry patients visiting OPD to be able to cater to the needs of general population. It is also important to assess any role of psychosocial factors operating during pandemic being responsible for any rise in number of psychiatric cases.

scholarly journals The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically different groups of individuals

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rona J. Strawbridge ◽  
Keira J. A. Johnston ◽  
Mark E. S. Bailey ◽  
Damiano Baldassarre ◽  
Breda Cullen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
European Ancestry ◽  
Cardiometabolic Disease ◽  
Metabolic Profiles ◽  
Genome Wide Association Studies ◽  
Uk Biobank ◽  
Major Depressive ◽  
Increased Risk

AbstractUnderstanding why individuals with severe mental illness (Schizophrenia, Bipolar Disorder and Major Depressive Disorder) have increased risk of cardiometabolic disease (including obesity, type 2 diabetes and cardiovascular disease), and identifying those at highest risk of cardiometabolic disease are important priority areas for researchers. For individuals with European ancestry we explored whether genetic variation could identify sub-groups with different metabolic profiles. Loci associated with schizophrenia, bipolar disorder and major depressive disorder from previous genome-wide association studies and loci that were also implicated in cardiometabolic processes and diseases were selected. In the IMPROVE study (a high cardiovascular risk sample) and UK Biobank (general population sample) multidimensional scaling was applied to genetic variants implicated in both psychiatric and cardiometabolic disorders. Visual inspection of the resulting plots used to identify distinct clusters. Differences between these clusters were assessed using chi-squared and Kruskall-Wallis tests. In IMPROVE, genetic loci associated with both schizophrenia and cardiometabolic disease (but not bipolar disorder or major depressive disorder) identified three groups of individuals with distinct metabolic profiles. This grouping was replicated within UK Biobank, with somewhat less distinction between metabolic profiles. This work focused on individuals of European ancestry and is unlikely to apply to more genetically diverse populations. Overall, this study provides proof of concept that common biology underlying mental and physical illness may help to stratify subsets of individuals with different cardiometabolic profiles.

scholarly journals Cognition and Its Association with Psychosocial and Occupational Functioning during Treatment with Escitalopram in Patients with Major Depressive Disorder: A CAN-BIND-1 Report: La Cognition Et Son Association Avec Le Fonctionnement Psychosocial Et Professionnel Durant Le Traitement Par Escitalopram Chez Des Patients Souffrant De Trouble Dépressif Majeur: Une Étude Can-Bind-1

2020 ◽  
pp. 070674372097482
Author(s):  
Shane J. McInerney ◽  
Trisha Chakrabarty ◽  
Malgorzata Maciukiewicz ◽  
Benicio N. Frey ◽  
Glenda M. MacQueen ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Cognitive Functioning ◽  
Symptom Severity ◽  
Cognitive Change ◽  
Cognitive Domain ◽  
Depression Symptom ◽  
Major Depressive ◽  
Occupational Functioning ◽  
The Impact

Objectives: Major depressive disorder (MDD) is associated with impairments in both cognition and functioning. However, whether cognitive deficits significantly contribute to impaired psychosocial and occupational functioning, independent of other depressive symptoms, is not well established. We examined the relationship between cognitive performance and functioning in depressed patients before and after antidepressant treatment using secondary data from the first Canadian Biomarker Integration Network in Depression-1 study. Methods: Cognition was assessed at baseline in unmedicated, depressed participants with MDD ( n = 207) using the Central Nervous System Vital Signs computerized battery, psychosocial functioning with the Sheehan Disability Scale (SDS), and occupational functioning with the Lam Employment Absence and Productivity Scale (LEAPS). Cognition ( n = 181), SDS ( n = 175), and LEAPS ( n = 118) were reassessed after participants received 8 weeks of open-label escitalopram monotherapy. A series of linear regressions were conducted to determine (1) whether cognitive functioning was associated with psychosocial and occupational functioning prior to treatment, after adjusting for overall depressive symptom severity and (2) whether changes in cognitive functioning after an 8-week treatment phase were associated with changes in psychosocial and occupational functioning, after adjusting for changes in overall symptom severity. Results: Baseline global cognitive functioning, after adjusting for depression symptom severity and demographic variables, was associated with the SDS work/study subscale (β = −0.17; P = 0.03) and LEAPS productivity subscale (β = −0.17; P = 0.05), but not SDS total (β = 0.19; P = 0.12) or LEAPS total (β = 0.41; P = 0.17) scores. Although LEAPS and SDS scores showed significant improvements after 8 weeks of treatment ( P < 0.001), there were no significant associations between changes in cognitive domain scores and functional improvements. Conclusion: Cognition was associated with occupational functioning at baseline, but changes in cognition were not associated with psychosocial or occupational functional improvements following escitalopram treatment. We recommend the use of more comprehensive functional assessments to determine the impact of cognitive change on functional outcomes in future research.

scholarly journals A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jakub Tomasik ◽  
Sung Yeon Sarah Han ◽  
Giles Barton-Owen ◽  
Dan-Mircea Mirea ◽  
Nayra A. Martin-Key ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Diagnostic Algorithm ◽  
Health Questionnaire ◽  
Major Depressive ◽  
Blood Biomarker ◽  
Mental Health Questionnaire ◽  
Biomarker Data

AbstractThe vast personal and economic burden of mood disorders is largely caused by their under- and misdiagnosis, which is associated with ineffective treatment and worsening of outcomes. Here, we aimed to develop a diagnostic algorithm, based on an online questionnaire and blood biomarker data, to reduce the misdiagnosis of bipolar disorder (BD) as major depressive disorder (MDD). Individuals with depressive symptoms (Patient Health Questionnaire-9 score ≥5) aged 18–45 years were recruited online. After completing a purpose-built online mental health questionnaire, eligible participants provided dried blood spot samples for biomarker analysis and underwent the World Health Organization World Mental Health Composite International Diagnostic Interview via telephone, to establish their mental health diagnosis. Extreme Gradient Boosting and nested cross-validation were used to train and validate diagnostic models differentiating BD from MDD in participants who self-reported a current MDD diagnosis. Mean test area under the receiver operating characteristic curve (AUROC) for separating participants with BD diagnosed as MDD (N = 126) from those with correct MDD diagnosis (N = 187) was 0.92 (95% CI: 0.86–0.97). Core predictors included elevated mood, grandiosity, talkativeness, recklessness and risky behaviour. Additional validation in participants with no previous mood disorder diagnosis showed AUROCs of 0.89 (0.86–0.91) and 0.90 (0.87–0.91) for separating newly diagnosed BD (N = 98) from MDD (N = 112) and subclinical low mood (N = 120), respectively. Validation in participants with a previous diagnosis of BD (N = 45) demonstrated sensitivity of 0.86 (0.57–0.96). The diagnostic algorithm accurately identified patients with BD in various clinical scenarios, and could help expedite accurate clinical diagnosis and treatment of BD.

Emotional availability in women with bipolar disorder and major depression: A longitudinal pregnancy cohort study

2021 ◽  
pp. 000486742199879
Author(s):  
Pavitra Aran ◽  
Andrew J Lewis ◽  
Stuart J Watson ◽  
Thinh Nguyen ◽  
Megan Galbally
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Major Depression ◽  
Depressive Disorder ◽  
Emotional Availability ◽  
Major Depressive ◽  
Interaction Quality ◽  
Pregnancy Cohort ◽  
The Impact

Objective: Poorer mother–infant interaction quality has been identified among women with major depression; however, there is a dearth of research examining the impact of bipolar disorder. This study sought to compare mother–infant emotional availability at 6 months postpartum among women with perinatal major depressive disorder, bipolar disorder and no disorder (control). Methods: Data were obtained for 127 mother–infant dyads from an Australian pregnancy cohort. The Structured Clinical Interview for the DSM-5 was used to diagnose major depressive disorder ( n = 60) and bipolar disorder ( n = 12) in early pregnancy (less than 20 weeks) and review diagnosis at 6 months postpartum. Prenatal and postnatal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale, along with self-report psychotropic medication use. Mother and infant’s interaction quality was measured using the Emotional Availability Scales when infants reached 6 months of age. Multivariate analyses of covariance examining the effects of major depressive disorder and bipolar disorder on maternal emotional availability (sensitivity, structuring, non-intrusiveness, non-hostility) and child emotional availability (responsiveness, involvement) were conducted. Results: After controlling for maternal age and postpartum depressive symptoms, perinatal disorder (major depressive disorder, bipolar disorder) accounted for 17% of the variance in maternal and child emotional availability combined. Compared to women with major depressive disorder and their infants, women with bipolar disorder and their infants displayed lower ratings across all maternal and child emotional availability qualities, with the greatest mean difference seen in non-intrusiveness scores. Conclusions: Findings suggest that perinatal bipolar disorder may be associated with additional risk, beyond major depressive disorder alone, to a mother and her offspring’s emotional availability at 6 months postpartum, particularly in maternal intrusiveness.

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